class_docstr: IMDB movie reviews dataset.
code: def _info(self):
      return datasets.DatasetInfo(
          description=_DESCRIPTION,
          features=datasets.Features(
              {
                  "text": datasets.Value("string"),
                  "label": datasets.features.ClassLabel(
                      names=["neg", "pos"]
                  ),
              }
          ),
          supervised_keys=None,
          homepage="http://ai.stanford.edu/~amaas/data/sentiment/",
          citation=_CITATION,
          task_templates=[
              TextClassification(
                  text_column="text", label_column="label"
              )
          ],
      )
  
file_path: fastNLP/tests/core/controllers/imdb.py
imports: import datasets
  from datasets.tasks import TextClassification
label_desc: Use image node_id 1 for calling the Imdb obj's underlying member method code with example usage: obj._info() and returns: datasets